Solving LPs: simplex optimizers

Documents the primal and dual simplex optimizers.

Introducing the primal and dual optimizers
Places the primal and dual optimizers in context.
Choosing an optimizer for your LP problem
Explains considerations of choosing an optimizer for LP models.
Tuning LP performance
Documents tactics for tuning performance on LP models.
Diagnosing performance problems
While some linear programming models offer opportunities for performance tuning, others, unfortunately, entail outright performance problems that require diagnosis and correction. This section indicates how to diagnose and correct such performance problems as lack of memory or numeric difficulties.
Diagnosing LP infeasibility
Documents ways to diagnose sources of infeasibility in LP models.
Accessing slack variables and solution values
Documents the conventions that CPLEX observes with respect to slack variables and solution values.
Examples: using a starting basis in LP optimization
Shows examples of starting from an advanced basis for LP optimization.

Parent topic: Continuous optimization